As of July 2026, the average salary for Data Engineer at Insight Timer in the United States is $141,790 per year, which is equivalent to an hourly rate of approximately $68. Most salaries for this position fall within the range of $128,714 to $152,613 annually.
DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.
View detailed salary information by job role at Insight Timer. This section highlights salary ranges and average pay across different job categories to help you understand potential earnings and compensation within the company.
$541,669 / year
Salary Range: $427,195 - $685,592
Executive
$307,285 / year
Salary Range: $282,556 - $326,702
Product Management
$239,819 / year
Salary Range: $217,795 - $258,092
Strategic Planning
$204,482 / year
Salary Range: $183,409 - $226,333
Communications
$168,528 / year
Salary Range: $158,430 - $188,209
Operations
$155,666 / year
Salary Range: $141,518 - $167,689
Engineering
$138,001 / year
Salary Range: $124,661 - $150,684
Product Management
$135,705 / year
Salary Range: $125,777 - $144,594
Software Development
$135,705 / year
Salary Range: $125,777 - $144,594
Software Development
$130,654 / year
Salary Range: $116,070 - $146,236
Marketing Management
$130,603 / year
Salary Range: $119,560 - $141,409
Data Science
To succeed and maximize your earning potential as a Data Engineer at Insight Timer, a specific set of skills is crucial. The competencies listed below are highly valued. Explore the skills that can boost your compensation.
| Skills | Level of importance | Description |
|---|---|---|
| SQL | Structured Query Language) is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS). | |
| Python | Applying the concepts and algorithms of Python to design, develop and maintain software applications to comply with business requirements. | |
| Data engineering | ||
| AWS |
Amazon Web Services, Inc.
|
|
| Big Data |
Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software.
|
Understanding the career path for a Data Engineer can help you plan long-term professional growth. Below is a typical career progression for a Data Engineer, highlighting common next-step roles and opportunities for increased responsibility and compensation.
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